System of context

Horizontal, AI-powered index for everything your company knows

People and agents alike perform better with complete company context—how data, people, and processes interconnect to make work happen.

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Turn data into context

In the modern world of SaaS apps, data is scattered across email, chat, CRM entries, meeting recordings, code commits, ticketing systems, slides, and docs. Each artifact carries crucial context—who created it, how often it’s used, and how it ties into larger projects—together revealing how work actually gets done.

Index and secure your data once

Support for a wide range of enterprise AI queries. Search is tuned to help you with day-to-day work, planning meetings, running data analysis, and defining enterprise terms.

Amplify the impact of AI with a system of context

Glean tackles the problem inherent in LLMs, their proclivity towards hallucinations. We’re using our AI evaluator to refine the search so that results are grounded, and answers are complete.

The foundation of a unified index

Enterprise data is siloed across SaaS applications. That’s why building a complete system of context requires connecting to every app and unifying the data—capturing content, activity signals, people metadata, and permissions. This unified index gives AI the foundation it needs to understand work.

Data—now searchable and learnable

A unified index makes all your data searchable—providing the foundation for the next-generation AI data platform. Centralized indexes enable Glean to learn your company’s unique language and provide context for every agent and user across the organization.

AI powered by real knowledge

Indexing helps AI understand content; knowledge graphs help it understand relationships.The knowledge graph connects the dots—linking people, projects, activities, and customers into a larger network. This interconnected structure helps AI infer relevance and act more like a human—grounded in how your business actually operates.

A personal understanding

The knowledge graph has evolved—from mapping enterprise entities to also mapping individuals. This addition, known as the personal graph, centers on each employee: analyzing the tasks they complete, relationships they build, and the patterns behind their work. Linking these to broader initiatives enables more personalized AI experiences.

Context enables broad agentic adoption and scaling

By understanding how individuals work through personal graphs, we uncover insights into both individual impact and broader organizational patterns. This context fuels the agent experience—identifying the right agentic workflows and enabling everyone to build agents. The system of context does the heavy lifting, grounding each flow in how your business actually operates. Every AI interaction—whether it’s data analysis, ticketing, knowledge Q&A, meetings, research, or content creation—is enriched by this context. This collective context is what makes AI scalable and reliable in the enterprise.

Agentic Reasoning Engine - Semantic understanding

Agentic Reasoning Engine - Open, extensible platform

Run agents everywhere

Wherever you build and run agents, they’re grounded in the system of context. With an open agent environment, you can index and secure your data once—and access that context anywhere. Glean’s open APIs let you bring this context into any interface or workflow. We’re also committed to agent interoperability, with hosted MCP servers that integrate this system of context with leading agent development platforms like OpenAI’s Agents SDK, LangGraph, Amazon Bedrock Agents, and Google’s Agent Development Kit (ADK).

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Guide

How Glean search works

Guide

What is Retrieval Augmented Generation (RAG)?

Report

The state of AI at work in 2025

Work AI for all.

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